Amri Napolitano, Ph.D.
Affiliations: | 2009 | Florida Atlantic University, Boca Raton, FL, United States |
Area:
Computer ScienceGoogle:
"Amri Napolitano"Parents
Sign in to add mentorTaghi M. Khoshgoftaar | grad student | 2009 | Florida Atlantic University | |
(Classification techniques for noisy and imbalanced data.) |
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Publications
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Najafabadi MM, Khoshgoftaar TM, Napolitano A. (2016) Detecting Network Attacks Based on Behavioral Commonalities International Journal of Reliability, Quality and Safety Engineering. 23 |
Wang H, Khoshgoftaar TM, Napolitano A. (2015) Stability of three forms of feature selection methods on software engineering data Proceedings of the International Conference On Software Engineering and Knowledge Engineering, Seke. 2015: 385-390 |
Gao K, Khoshgoftaar TM, Napolitano A. (2015) An Empirical Investigation of Combining Filter-Based Feature Subset Selection and Data Sampling for Software Defect Prediction International Journal of Reliability, Quality and Safety Engineering. 22: 1550027 |
Khoshgoftaar TM, Gao K, Chen Y, et al. (2015) Comparing Feature Selection Techniques for Software Quality Estimation Using Data-Sampling-Based Boosting Algorithms International Journal of Reliability, Quality and Safety Engineering. 22: 1550013 |
Gao K, Khoshgoftaar TM, Napolitano A. (2015) Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data International Journal of Software Engineering and Knowledge Engineering. 25: 1531-1550 |
Gao K, Khoshgoftaar TM, Napolitano A. (2015) Investigating two approaches for adding feature ranking to sampled ensemble learning for software quality estimation International Journal of Software Engineering and Knowledge Engineering. 25: 115-146 |
Wang H, Khoshgoftaar TM, Napolitano A. (2015) An Empirical Investigation on Wrapper-Based Feature Selection for Predicting Software Quality International Journal of Software Engineering and Knowledge Engineering. 25: 93-114 |
Gao K, Khoshgoftaar TM, Napolitano A. (2014) The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction International Journal of Software Engineering and Knowledge Engineering. 24: 1229-1253 |
Wang H, Khoshgoftaar TM, Napolitano A. (2013) An empirical study on wrapper-based feature selection for software engineering data Proceedings - 2013 12th International Conference On Machine Learning and Applications, Icmla 2013. 2: 84-89 |
Khoshgoftaar TM, Gao K, Napolitano A, et al. (2013) A comparative study of iterative and non-iterative feature selection techniques for software defect prediction Information Systems Frontiers. 16: 801-822 |